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SocialAPIs

Facebook: Get Comment Replies

facebook_get_comment_replies
Read-only

Fetch replies to a specific comment on a Facebook post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expansion_tokenYesExpansion token from the comments endpoint with include_reply_info=true
comment_feedback_idYesFeedback ID from the comments endpoint with include_reply_info=true

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesJSON response from the SocialAPIs REST endpoint, unchanged. Object or array depending on the endpoint; most include a `meta` block (statusCode, duration, creditsCharged, creditsRemaining).
creditsChargedNoCredits charged for this call, or null if the endpoint did not report it.
creditsRemainingNoCredits left on the API key after this call, or null if not reported.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the read-only safety profile is covered. The description adds nothing beyond that profile (no pagination, ordering, or reply-count behavior), which is the baseline when annotations carry the safety burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the verb and target are stated immediately and nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter read tool with an output schema and covering annotations, the definition is mostly sufficient. The minor gap is that it does not explain the workflow dependency on first calling the comments endpoint, but that is documented in the schema descriptions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters are documented in-schema, including their provenance (the comments endpoint with include_reply_info=true). The description repeats the concept of a comment but adds no format or constraint detail, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb (Fetch) plus a precise resource (replies to a specific comment on a Facebook post). It is distinguishable from facebook_get_post_comments, which returns top-level comments, though the description never names that sibling to make the boundary explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus facebook_get_post_comments or facebook_get_post_details, and no mention that the required inputs must first be obtained from the comments endpoint. Usage must be inferred entirely from the schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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